Steven startakovsky
startakovsky
/ preview-fzf.zsh
Last active
June 15, 2023 19:08
This is a useful tool created with the help of GPT to get some good preview capabilities searching through files and folders.
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| ## preview fzf | |
| ## prerequisites: | |
| ## - brew install fzf | |
| ## - (brew --prefix)/opt/fzf/install | |
| pf () { | |
| local dir=${1:-"."} # defaults to current directory if no argument is provided | |
| local instructions="=== FILE SELECTION TOOL === | |
| Multi-select: Press TAB |
startakovsky
/ conformal_inference_basic_example.ipynb
Last active
May 11, 2021 00:34
Conformal Inference Prediction Intervals on Heteroskedastic data using MAD nonconformity scores
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startakovsky
/ mysql_to_bool.py
Last active
August 29, 2015 14:26
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| from numpy import vectorize | |
| def mysql_bit_to_bool(values): | |
| """Return Python [an array of] boolean values.""" | |
| mysql_bits = {'\x01': True, '\x00': False} | |
| def wrapper(value): | |
| return mysql_bits[value] |
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| from __future__ import division | |
| from sympy import * | |
| N = symbols('N', integer = True) | |
| a = 45 | |
| b = 60 | |
| c = 20 | |
| d = 85 | |
| X = symbols('X') | |
| eqs = ( | |
| X - 2*N*(abs(a*d-b*c)-N)**2/((a+c)*(b+d)*N**2) |
startakovsky
/ gist:c47469c588902d0bf814
Created
June 25, 2015 22:48
one strategy for dealing with sql queries.... it's imperfect but that's what you wanted i think.
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| class PostGres(object): | |
| connection = None | |
| def __init__(self, connection, debug_on=True): | |
| self.connection = connection | |
| self.autocommit = True | |
| self.debug_on = debug_on | |
| def get_table_count(self, table): |
startakovsky
/ gist:296d20fff02662abd441
Created
June 24, 2015 04:57
richie's rolling average question
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| { | |
| "metadata": { | |
| "name": "", | |
| "signature": "sha256:d2c68b4373fca3af6f3e771c8cdbccc2c8dd3c0fd7e82dd401199d6e0fa16c86" | |
| }, | |
| "nbformat": 3, | |
| "nbformat_minor": 0, | |
| "worksheets": [ | |
| { | |
| "cells": [ |
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| html(tab_list([[i,i.get_sign(),d[i],d[i].get_sign()] for i in d], headers = ['element',sign,'image',sign])) | |
| def tab_list(y, headers = None): | |
| ''' | |
| Converts a list into an html table with borders. | |
| ''' | |
| s = '<table border = 1>' | |
| if headers: | |
| for q in headers: | |
| s = s + '<th>' + str(q) + '</th>' |